- ☆Zig Bill Utils - high-performance toolkit for analyzing U.S. legislative bills.
- ☆Py Bill Utils - Python project for analyzing U.S. legislative bills. - uses Zig Bill Utils
- Google NotebookLM - AI-generated summaries, Q&A, and podcasts from your own documents and sources.
- Meta Quest Virtual Reality - immersive games, learning, productivity, and creativity in mixed reality.
- Google Apps Script - automate workflows in Google Drive, Docs, Sheets, Gmail, and more using JavaScript-like scripting.
- Microsoft Quantum Simulator - Try quantum computing in your browser—no special hardware required.
- Learn with Quantum Katas - interactive notebook tutorials for quantum logic and computation.
- Viola the Bird - interactive experiment blending machine learning with cello-inspired play.
- BirdNET – Identify Bird Sounds with ML - Upload audio or use field device to identify birds by sound with bioacoustics AI.
- GitHub Copilot Workspace - AI-powered IDE that understands your repo, suggests tasks, writes code, and walks through implementation plans.
- GitHub Copilot Voice - use your voice to code (without spelling things out)
- More GitHub Next Projects - cutting-edge developer tools being prototyped by GitHub.
Project Setup / Initialization / Standard Workflow
- ⭐pro-analytics-01
- 🆕pro-analytics-01-audio-guides - AI generated two-person podcasts discussing professional Python for analytics
- 🆕Listen
Apache Kafka / Spark Starter Template
- pro-analytics-apache-starter - keep JDK, JAVA_HOME, etc isolated
- pro-analytics-ai — illustrates how LLMs like ChatGPT work by creating an AI assistant trained on pro-analytics-01. It uses APIs (OpenAI/OpenRouter) to process user prompts and generate natural language responses, but all retrieval and context selection is performed locally based on the source repository text.
- The AI assistant runs locally on a 2 TB SSD machine with 12/24 cores, using API calls (via a free OpenRouter API key).
- The frontend is lightweight, but the backend uses a local retrieval pipeline (ChromaDB + sentence-transformers) that depends on large Python ML libraries, making it too heavy for serverless platforms like AWS Lambda and significant even for AWS EC2.
- Even when calling external APIs (and not hosting full LLM models), generating embeddings and performing document retrieval requires a significant machine learning environment.
- When we build a brain by indexing our own documents, the storage, memory, and processing requirements expand dramatically.
- test page
- mandart-engine-rust
- Comparing input to output
- Example input Frame25 and output Frame25
- applied-ml-template - copy this to your GH and replace template with yourname
- ml-04 - classification analysis
- ml-07 - regression analysis
- applied-computer-organization
- pro-analytics-01
- datafun-01-textbook - requires virtual environment and installed packages
- datafun-01-utils - first reusable module w/stats
- datafun-02-project-setup - scripting project folders
- datafun-03-analytics - fetch and write data, read and process it
- datafun-04-notebooks - explore/present insights using Python and Markdown in a Jupyter notebook
- datafun-05-sql - Python and SQL
- datafun-05-spec
- datafun-06-spec - Custom EDA
- smart-sales-analysis-goals
- smart-sales-raw-data
- smart-sales-starter-files
- smart-sales-docs
- smart-sales-olap
- smart-sales-spark
- smart-sales-duckdb-sql
- smart-sales-duckdb-sql-python
- buzzline-01-case - Python generators for streaming pipelines
- buzzline-02-case - Kafka pipelines for streaming data
- buzzline-03-case - Kafka pipelines for streaming structured and semi-structured data
- buzzline-04-case - Kafka pipelines with live visualizations
- buzzline-05-case - Kafka pipelines with data storage
- kafka-producer-earthquake - Kafka producer for streaming earthquake data from USGS API
- dc-mailer
- dc-texter
World Diabetes Day (WDD) is the world’s largest diabetes awareness campaign reaching a global audience of over 1 billion people in over 160 countries. It is marked every year on 14 November, the birthday of Sir Frederick Banting, who co-discovered insulin along with Charles Best in 1922.
WDD was created in 1991 by International Diabetes Federation (IDF) and the World Health Organization and became an official United Nations Day in 2006 with the passage of United Nations Resolution 61/225.
- MandArt (App Store) - runs on MacOS (v12+) - Released!
- MandArt-Docs
- MandArt-Discoveries
- Color Cube
- MandArt-Web
A SwiftUI app for creating custom art with the Mandelbrot set.
- MandArt: source repo
- MandArt: my fork
- MandArt deploy
- MandArt-Docs: source repo
- MandMath (w/Julia) - Julia enables 150 - 1500+ decimal places
- Color Cube: source repo
- GrandArt: source repo - explore exponenents beyond 2
- MandArt3: source repo - explore MandArt with exponenent 3
- cintel-01-spec
- cintel-02-spec
- cintel-03-spec
- cintel-04-spec
- cintel-05-spec
- cintel-06-spec
- cintel-07-spec
- fetch-data-weather
- pyshiny-tips-dashboard-express
- pyshiny-penguins-dashboard-express
- pyshiny-penguins-dashboard-core
- cintel-01-getting-started
- cintel-02-app
- cintel-03-data
- cintel-04-reactive
- cintel-05-live-updates
- cintel-stock-response
- digital-forensics-resources
- 386-site
- dfir-hash-1
- dfir-hash-2
- dfir-pwsh-forensic-copy
- dfir-pwsh-file-recovery
- df-mod6-mobile
Beginner-friendly - these skills are great for students to explore GitHub, open-source, and Alexa projects. Schedules can be updated with no coding experience - follow a link below and look in lambda/games.json to see how easy it is to update the schedule when a new season begins.
Skills to ask Alexa about upcoming local games in Ely Minnesota. ❄
- TimberwolfTracker-BoysBasketball
- TimberwolfTracker-GirlsBasketball
- TimberwolfTracker-GirlsVolleyball
